scholarly journals How is China’s Health Development During 2012 to 2017? A Longitudinal Study Based on Comprehensive Evaluation and Linear Growth Model

2020 ◽  
Author(s):  
Gangming Zhang ◽  
kelifa Mohammedosman Mohammedhamid ◽  
Fang Tang ◽  
Jiaye Xu ◽  
Bhawana Shrestha ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Growth Model ◽  
Linear Growth ◽  
Comprehensive Evaluation ◽  
Political Influence ◽  
Sustainable Growth ◽  
Entropy Weight ◽  
Health Development ◽  
Health Level ◽  
Linear Growth Model

Abstract Background: Since 2012, China has come into a new period of health development. This paper comprehensively described China’s health development and explored associated influencing factors during the last 6 years (2012-2017).Methods: Data for this study came from statistics yearbook and analysis unit were provincial regions. Comprehensive evaluation (principal component analysis and entropy weight method) was employed to calculate the comprehensive health index to evaluate the health. Then linear growth model was applied to explore factors that influenced the development.Results: Results showed that, since 2012, China’s health had a sustainable growth but inequities among provincial regions were still existing and becoming larger. For influencing factors, time was always a significant positive predictor ( ) and it was affected by geographical distributions ( ) and distance to Beijing ( ), which indicated that regions in central or far from Beijing had a lower growth. Among socioeconomics variables, urbanization level was the final factor ( ) that promoted China’s health development and caused development inequalities. Besides, health level was also influenced by the distance to Beijing ( ), regions near to Beijing had a higher health level.Conclusion: Time effect was the results of policy, during 2012 to 2017, China’s sustainable health development was brought by the policy effect and growth of urbanization level.Thus, it is crucial for one country to introduce suitable health policies and narrow the urban-rural gaps to improve its health. Distance to Beijing represented the potential political influence on health of one country’s capital due to the policy execution level which means that supervisions need to be strengthened for regions far from the capital. Besides, supports and supervisions also need to be enhanced in central regions. They were one of the reasons that caused development inequalities.

scholarly journals Growth rates of the chokka squid Loligo reynaudii d’Orbigny, 1845 (Cephalopoda: Myopsida: Loliginidae) off South Africa, investigated over two years

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Collette H. Mwanangombe ◽  
Deon Durholtz ◽  
Dawit Yemane ◽  
Jean Githaiga-Mwicigi ◽  
Warwick H. H. Sauer ◽  
...  
Keyword(s):  
South Africa ◽  
Sexual Dimorphism ◽  
Growth Model ◽  
Growth Rates ◽  
Linear Growth ◽  
Maximum Size ◽  
Mantle Length ◽  
Daily Growth ◽  
Males And Females ◽  
Linear Growth Model

Growth of adult chokka squid Loligo reynaudii d’Orbigny was modelled using mantle length and age data derived from samples collected over two years (2003 and 2004) from a single, large cohort of mature and spawning squid. A total of 588 statoliths were examined (310 males, 278 females) from individuals of 71–425 mm mantle length (ML). The maximum size of chokka squid was 425 mm ML for males and 263 mm ML for females. The Francis Growth Model and Linear Growth model were selected for further analysis from six models considered. Males and females attain similar ages, although mantle length-based daily growth rates ranged from 0.75 to 1.02 (0.88 quantile _50) mm/day for males and 0.32–0.45 (0.38 quantile _50) mm/day for females, explaining the sexual dimorphism apparent in the sizes of individuals of this species.

Development of a non-linear growth model for predicting temporal evolution of Scenedesmus obliquus with varying irradiance

2019 ◽  
Vol 42 (12) ◽  
pp. 2047-2054 ◽  
Author(s):  
Jayati Trivedi ◽  
Jasvinder Singh ◽  
Neeraj Atray ◽  
S. S. Ray ◽  
Deepti Agrawal
Keyword(s):  
Growth Model ◽  
Linear Growth ◽  
Temporal Evolution ◽  
Scenedesmus Obliquus ◽  
Non Linear ◽  
Linear Growth Model

scholarly journals Linear growth model analysis of factors affecting boar semen characteristics in Southern China1

2017 ◽  
Vol 95 (12) ◽  
pp. 5339-5346 ◽  
Author(s):  
C. Wang ◽  
J. L. Li ◽  
H. K. Wei ◽  
Y. F. Zhou ◽  
J. J. Tan ◽  
...  
Keyword(s):  
Growth Model ◽  
Linear Growth ◽  
Model Analysis ◽  
Factors Affecting ◽  
Semen Characteristics ◽  
Boar Semen ◽  
Linear Growth Model

A linear growth model including education

1973 ◽  
Vol 33 (3-4) ◽  
pp. 251-279
Author(s):  
Gerhard O. Orosel
Keyword(s):  
Growth Model ◽  
Linear Growth ◽  
Linear Growth Model

Perspectives on the relationship between otolith growth and the conversion of isotope activity ratios to fish ages

1995 ◽  
Vol 52 (10) ◽  
pp. 2296-2303 ◽  
Author(s):  
Daniel K. Kimura ◽  
Craig R. Kastelle
Keyword(s):  
Growth Model ◽  
Linear Growth ◽  
Age Determination ◽  
Growth Curves ◽  
Otolith Growth ◽  
Daunting Task ◽  
Activity Ratios ◽  
Linear Growth Model ◽  
Isotope Activity Ratios ◽  
The Relationship

Ageing of fish otoliths using radiometric methods is now becoming widely accepted. Using this methodology, one has the choice of extracting otolith cores or modeling otolith mass growth. Modeling otolith growth forgoes the difficult work of extracting cores, but one is left with the nearly equally daunting task of selecting and validating an otolith growth model and deriving the corresponding decay equations. We note that the mathematical aspects of this problem appear to have been satisfactorily resolved. However, problems of interpretation remain, and it is not clear whether practitioners fully appreciate the sensitivity of their results to growth model selection and interpretation. We note that the two-stage linear growth model appears to be generally misapplied in the literature. Also, we present evidence that the process of using otolith growth curves estimated from annular ring counts to validate the method of counting annular rings can constitute circular reasoning. Although tedious work, extracting otolith cores seems the most valid way to avoid some serious problems in radiometric age determination work.

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